The performance of a vision system is often attributed to AI. Yet what matters most happens before.

Good detection always starts with a good image.

Before any algorithm, three choices determine the result:
– lighting: it reveals the defect, or hides it
– optics and camera: sharpness, field, usable resolution
– integration on the line: speed, vibrations, reflections, distances

AI cannot make up for a poorly controlled image. It works with what it is given.

That is what separates an impressive demo from a system that holds up in production, week after week.

Looking into automating an inspection for the fall? Let's talk about the image before talking about the algorithm: contact@psycle.io